Open AccessAutomated boundary detection of the optic disc and layer segmentation of the peripapillary retina in volumetric structural and angiographic optical coherence tomography
Author(s) -
Pengxiao Zang,
Simon S. Gao,
Thomas S. Hwang,
Christina J. Flaxel,
David J. Wilson,
John C. Morrison,
David Huang,
Dengwang Li,
Yali Jia
Publication year - 2017
Publication title -
biomedical optics express
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.362
H-Index - 86
ISSN - 2156-7085
DOI - 10.1364/boe.8.001306
Subject(s) - optical coherence tomography , retina , optic disc , nerve fiber layer , segmentation , optic disk , optics , diffuse optical imaging , tomography , optic nerve , ophthalmology , medicine , computer science , artificial intelligence , retinal , physics
To improve optic disc boundary detection and peripapillary retinal layer segmentation, we propose an automated approach for structural and angiographic optical coherence tomography. The algorithm was performed on radial cross-sectional B-scans. The disc boundary was detected by searching for the position of Bruch's membrane opening, and retinal layer boundaries were detected using a dynamic programming-based graph search algorithm on each B-scan without the disc region. A comparison of the disc boundary using our method with that determined by manual delineation showed good accuracy, with an average Dice similarity coefficient ≥0.90 in healthy eyes and eyes with diabetic retinopathy and glaucoma. The layer segmentation accuracy in the same cases was on average less than one pixel (3.13 μm).